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| HAL : hal-00328120, version 1 |
| Fiche détaillée |  Récupérer au format |
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| 2nd International Conference on Computer Vision Theory and Applications, VISAPP 2007, Barcelona : Espagne (2007) |
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| Cued Speech Hand Shape Recognition |
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Thomas Burger 1, 2, 3Oya Aran 4 |
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| (2007) |
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| As part of our work on hand gesture interpretation, we present our results on hand shape recognition. Our method is based on attribute extraction and multiple binary SVM classification. The novelty lies in the fashion the fusion of all the partial classification results are performed. This fusion is (1) more efficient in terms of information theory and leads to more accurate result, (2) general enough to allow other source of information to be taken into account: Each SVM output is transformed to a belief function, and all the corresponding functions are fused together with some other external evidential sources of information |
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| 1 : | Laboratoire des images et des signaux (LIS) |
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CNRS : UMR5083 – Institut National Polytechnique de Grenoble - INPG – Université Joseph Fourier - Grenoble I |
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| 2 : | Grenoble Images Parole Signal Automatique (GIPSA-lab) |
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CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble |
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| 3 : | France Télécom Recherche & Développement (FT R&D) |
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France Télécom |
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| 4 : | Dep. of Computer Engineering (BUM) |
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Bogazici University |
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| 5 : | Bogazici University |
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Bogazici University |
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| Domaine | : | Informatique/Vision par ordinateur et reconnaissance de formes |
| hal-00328120, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00328120/fr/ | |
| oai:hal.archives-ouvertes.fr:hal-00328120_v1 | |
| Contributeur : Thomas Burger | |
| Soumis le : Jeudi 9 Octobre 2008, 17:10:23 | |
| Dernière modification le : Dimanche 19 Octobre 2008, 14:16:13 | |
